Accelerate Cash Flow with Context-Aware AI Agents.
Your ERP only sees the transaction. Rollio reads the full context — emails, contracts, PO history — and bridges SAP, Celonis, and ServiceNow so AI Agents can resolve invoice exceptions, manage vendor communications, and close the order-to-cash loop autonomously. No data scientists required.
Your ERP lacks the context to automate.
AI agents can only execute on data they understand. In Order-to-Cash, that creates two compounding problems: the structured data in your ERP is context-free — fields without relationships, transactions without ownership, purchase orders without the approval threads that created them. And 80% of the actual business context — the vendor email dispute, the credit hold conversation, the approval that resolved the exception — exists entirely outside your ERP.
When an exception occurs, the agent sees the mismatch in the system but not the resolution thread in the inbox. Without both layers, automation stops — and your finance team spends hours manually digging through emails to find the context, chasing vendors, and pushing DSO higher with every cycle.
40%
Time on PO/invoice reconciliation
30%
Time on payment exceptions
45–60d
O2C cycle
$50–100
Labor per transaction
Contextual data meets autonomous execution.
Rollio bridges the gap. By contextualizing your unstructured communications with your structured ERP data, our AI Agents can execute complex O2C workflows end-to-end, escalating only true anomalies to a Human Supervisor.
Contextual PO Processing
Agents read approval emails, validate against budget/contracts, create the PO in SAP, and handle vendor confirmation.
Autonomous Exception Handling
Performs 3-way matching. When an exception occurs, the Agent reads the email history to understand the context and resolves it within policy.
Strategic Payment Timing
Analyzes vendor history and dynamic discount terms to schedule payments that optimize your working capital.
Intelligent Vendor Follow-up
Proactively tracks missing documents and sends context-aware reminders in your corporate tone, preventing payment delays.
The business impact: O2C cycle reduced to 15–20 days, error rates under 0.5%, and human touchpoints reduced by up to 80%.
How the O2C Agent operates in reality.
PO processing
- 1Read approval email
- 2Pull PO details
- 3Check budget & contract
- 4Create PO in the system
- 5Confirm to vendor
- 6Set delivery reminder
Before
20 min
After
2 min
Invoice approval & payment
- 1Check against PO and receipt
- 2Three-way match
- 3Catch duplicates
- 4Flag exceptions
- 5Approve within policy
- 6Schedule best-timed payment
- 7Confirm to vendor
Before
2–3 days
After
5 min
Vendor payment timing
- 1Review vendor history
- 2Spot early-payment discounts (2/10 net 30)
- 3Weigh discount vs cash flow
- 4Recommend and act
Before
Discounts missed or overlooked
After
Capture early-payment discounts
Measurable impact on the metrics that matter.
Baselines and targets are set during your consultation, anchored to your current process and volume.
| Metric | Today | With Rollio |
|---|---|---|
| O2C cycle | 45–60 days | 15–20 days |
| Cost per transaction | $50–100 | $10–15 |
| Error rate | 2–5% | <0.5% |
| Working capital freed | — | $0.5M–$2M |
Your 90-day path to hands-free O2C.
- Week 1–2
Discovery
Map your O2C and procurement flow across SAP/Ariba/Coupa plus the email and spreadsheet context around them. Identify the highest-impact opportunities and define a 30-day pilot.
- Week 3–6
Pilot
Rollio starts handling PO processing and invoice approvals on a defined slice (typically ~20% of volume), within the rules and limits you set. Real-time measurement and team training begin.
- Month 2–3
Scaling
Expand to payment timing and vendor management. Connect banking and AP networks. Performance tuning, more processes, and broader team enablement.
- Month 4+
Full Speed
Runs around the clock with light oversight. Procurement and finance teams shift from processing to strategy, with ongoing ROI tracking.
Common questions.
Ready to deploy autonomous O2C Agents?
Let's map your current O2C workflows and identify the highest-impact areas for contextual AI automation.